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StreetCoding

Native macOS app for running and managing multiple coding agents in parallel from GitHub issues.

Developer toolsDesktop appFor developersAgents
streetcoding.org ↗Launched on Product Hunt · 2026-04-08
At a glanceswept 2026-09-19
Price
Price not read
Use
Emerging
Activity
Actively maintainednothing dated on the site
Company
founding year not on record
Runs as
Desktop app
Alternatives in Developer toolsby use, among tools still maintained
  • PostHogIngests product data and runs AI agents to investigate issues and recommend product improvements.

    Widely used

    ≈ 24.7k visits/mo
  • KiroConverts prompts into executable specifications and implements code with parallel agents that validate correctness.

    Widely usedActively maintained

    ≈ 32.7k visits/mo
  • DevinExecutes software engineering tasks including code migrations, bug fixes, testing, and documentation generation across multiple repositories.

    Widely usedActively maintained

    ≈ 30.6k visits/mo
  • TestMu AI (Formerly LambdaTest)Runs automated tests on web and mobile applications using AI agents across browsers, devices, and environments at scale.

    Widely usedActively maintained

    ≈ 370k visits/mo
  • ReplitBuilds and deploys web apps, websites, and agents from natural language descriptions.

    Widely used

    ≈ 278k visits/mo
  • V0 DevDeploys and runs applications and AI agents on serverless infrastructure with sandboxed environments and model gateways.

    Widely used

    ≈ 141k visits/mo

All Developer tools tools →

Questions this page answers
  • What is StreetCoding?

    Native macOS app for running and managing multiple coding agents in parallel from GitHub issues.

  • Do people use StreetCoding?

    Emerging.

  • Is StreetCoding still maintained?

    Actively maintained.

  • What are alternatives to StreetCoding?

    In Developer tools, by use: PostHog, Kiro, Devin, TestMu AI (Formerly LambdaTest), Replit, V0 Dev.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.